Software Engineer I, MLOps (Python/Big Data)

Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Software Engineer within PNC's Models Operationalization/MLOps organization, you will be based in Pittsburgh, PA or Cleveland, OH. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.   PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

As a Software Engineer I within our Models Operationalization (MLOps) organization, you will be part of a team responsible for building and supporting the production frameworks, pipelines, and platforms that enable machine learning solutions to operate reliably and efficiently at enterprise scale. This role focuses on the operational side of machine learning rather than model development. You will partner closely with software engineers, data engineers, data scientists, and platform teams to build scalable data processing solutions, support production ML workflows, and improve the performance, reliability, and automation of enterprise machine learning systems. This is an excellent opportunity for an engineer with strong Python and big data experience who enjoys solving technical problems, optimizing large-scale systems, and supporting critical production environments.

Develop, test, deploy, and support software solutions for machine learning production environments. Build and maintain large-scale data pipelines and processing frameworks. Optimize ML workflows, performance, scalability, and reliability. Troubleshoot and resolve production issues. Partner with data science, engineering, and platform teams to operationalize machine learning solutions. Create and maintain technical documentation. Participate in on-call support and production deployments.

Bachelor's degree and 2+ years of relevant experience, or in lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Strong Python development experience. Experience with Pandas, PySpark, PyArrow, and Hadoop. Experience building and supporting large-scale data processing solutions and data pipelines. Experience with MLOps and production support environments. Experience with performance tuning and optimization. Strong problem-solving and troubleshooting skills.

Experience with Kafka, Spark Streaming, or SLURM. Experience with model lifecycle management. Experience with cloud-based MLOps platforms, including AWS SageMaker. Experience in financial services or other highly regulated environments.

Weekend on-call rotation approximately once per month. Monthly production deployments that may begin after 10:00 PM EST and extend through the weekend. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are